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gemini-cli - 💡(How to fix) Fix write file unable to write high content files at once [1 comments, 2 participants]

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google-gemini/gemini-cli#25105•Fetched 2026-04-11 06:31:38
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Cyber-OscarCyber-Oscar
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Cyber-OscarCyber-Oscarjasonmatthewsuharijasonmatthewsuhari
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Error Message

If I develop a script file with a lot of characters, the write_file has a call error in the event in the gemini-cli's console

RAW_BUFFERClick to expand / collapse

What happened?

If I develop a script file with a lot of characters, the write_file has a call error in the event in the gemini-cli's console

What did you expect to happen?

Write the content in a file

Client information

<details> <summary>Client Information</summary>

Run gemini to enter the interactive CLI, then run the /about command.

> /about


</details>

### Login information

_No response_

### Anything else we need to know?

I prompt Gemini to write the content in chunks, and it seems to work, even if it is not efficient.

extent analysis

TL;DR

Writing content in chunks appears to be a viable workaround for the error encountered when using write_file with a large number of characters.

Guidance

  • The issue seems to be related to the size of the content being written, suggesting a potential character limit or buffer overflow issue.
  • To verify the workaround, try writing content in smaller chunks and confirm that the error does not occur.
  • Consider optimizing the chunk size to balance efficiency and reliability.
  • If the issue persists, investigate the gemini-cli documentation for any known limitations or configuration options related to file writing.

Example

No code snippet is provided as the issue does not include specific code details.

Notes

The provided information does not include technical details about the gemini-cli version, configuration, or the exact error message, which might be necessary for a more precise diagnosis.

Recommendation

Apply workaround: Writing content in chunks seems to be a reliable solution, given the information provided, as it has been reported to work, albeit with some inefficiency.

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#permission error#memory optimization#batch processing#GPU compatibility#latency issue

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